Back for a fourth year, our annual State of Kubernetes survey shows ongoing momentum with Kubernetes adoption. Respondents expressed an easing of most challenges, aside from security. Here are four highlights from this year's survey.

For organizations across industries and verticals, cost optimization of the cloud is fundamental to long-lasting success in the cloud. With cloud spending at an all-time high, cloud cost optimization is critical to ensuring organizations can financially sustain large-scale, dynamic clouds. Operationalizing cloud optimization, however, has significant challenges even for experienced teams, but ignoring the directive of optimization can lead to even higher cloud spending and wasted resources.

In 2020, my co-founders and I had this crazy idea of bringing a better Developer Experience on top of AWS. You know, the one that you can easily use with "the promise of the cloud" that any developer can take advantage of and deploy their next successful product in seconds. Somehow, the missing product of AWS 😅. This is where Netlify was an excellent source of inspiration. A nice Developer Experience, where deploying an application is as simple as pushing your code on Git.

When an incident happens, most organizations have a way of identifying all affected services. The trouble is, it’s often a human-centered process that depends on the knowledge of key individuals or manually updated documentation. There might be a version in your alerting tool, a version in your corporate Wiki, and a different version still in your team’s head.

Oftentimes, people starting their journey in the field of software development don’t understand the importance of testing, including Golang app testing, until late in their careers. It’s essential to think about testing as an integral part of the software development lifecycle (SDLC) not only in theory but in practice, too. When building cutting-edge software, you need to make sure that the version being upgraded is error-free and that almost all of the failure cases have been considered.

For DevOps teams, delivering quality software has long required reconciling a major tension: In a perfect world, you’d catch every issue in each new release of your application before you deployed the release into production. But in the real world, doing so is tricky, not least because it’s hard to collect data about application performance before the application is actually deployed.

Hey Civo users, at Gimlet, we think that best practices in the Kubernetes ecosystem have solidified so much, that they can be packaged into tools, so that you don't have to make nuanced decisions every corner. This is what we have been doing with our CLI tools, and nowdays doing with the Gimlet Dashboard! We have been following Civo for over a year now and see how much the Gimlet team shares the Civo community's spirit.

Using containers for microservices has gained a lot of popularity in the last decade or so. Developing the application through microservices across multiple containers results in the best of both worlds. It provides resilience as well as agility through scaling and improvements. Before we dwell on how containers and microservices form an ideal combination, let’s start with a basic understanding of microservices and containers.